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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inattention and Reaction Time Variability Are Linked to Ventromedial Prefrontal Volume in Adolescents
|
|---|---|
| Published in |
Biological Psychiatry, January 2017
|
| DOI | 10.1016/j.biopsych.2017.01.003 |
| Pubmed ID | |
| Authors |
Matthew D. Albaugh, Catherine Orr, Bader Chaarani, Robert R. Althoff, Nicholas Allgaier, Nicholas D’Alberto, Kelsey Hudson, Scott Mackey, Philip A. Spechler, Tobias Banaschewski, Rüdiger Brühl, Arun L.W. Bokde, Uli Bromberg, Christian Büchel, Anna Cattrell, Patricia J. Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Jürgen Gallinat, Robert Goodman, Penny Gowland, Yvonne Grimmer, Andreas Heinz, Viola Kappel, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Jani Penttila¨, Luise Poustka, Tomáš Paus, Michael N. Smolka, Maren Struve, Henrik Walter, Robert Whelan, Gunter Schumann, Hugh Garavan, Alexandra S. Potter |
| Abstract |
Neuroimaging studies of attention-deficit/hyperactivity disorder (ADHD) have most commonly reported volumetric abnormalities in the basal ganglia, cerebellum, and prefrontal cortices. Few studies have examined the relationship between ADHD symptomatology and brain structure in population-based samples. We investigated the relationship between dimensional measures of ADHD symptomatology, brain structure, and reaction time variability-an index of lapses in attention. We also tested for associations between brain structural correlates of ADHD symptomatology and maps of dopaminergic gene expression. Psychopathology and imaging data were available for 1538 youths. Parent ratings of ADHD symptoms were obtained using the Development and Well-Being Assessment and the Strengths and Difficulties Questionnaire (SDQ). Self-reports of ADHD symptoms were assessed using the youth version of the SDQ. Reaction time variability was available in a subset of participants. For each measure, whole-brain voxelwise regressions with gray matter volume were calculated. Parent ratings of ADHD symptoms (Development and Well-Being Assessment and SDQ), adolescent self-reports of ADHD symptoms on the SDQ, and reaction time variability were each negatively associated with gray matter volume in an overlapping region of the ventromedial prefrontal cortex. Maps of DRD1 and DRD2 gene expression were associated with brain structural correlates of ADHD symptomatology. This is the first study to reveal relationships between ventromedial prefrontal cortex structure and multi-informant measures of ADHD symptoms in a large population-based sample of adolescents. Our results indicate that ventromedial prefrontal cortex structure is a biomarker for ADHD symptomatology. These findings extend previous research implicating the default mode network and dopaminergic dysfunction in ADHD. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Chile | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 16% |
| Researcher | 15 | 13% |
| Other | 8 | 7% |
| Professor | 8 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 18% |
| Unknown | 41 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 32 | 27% |
| Medicine and Dentistry | 13 | 11% |
| Neuroscience | 10 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 13 | 11% |
| Unknown | 44 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2017.
All research outputs
#973,668
of 25,371,288 outputs
Outputs from Biological Psychiatry
#692
of 6,596 outputs
Outputs of similar age
#20,532
of 423,458 outputs
Outputs of similar age from Biological Psychiatry
#11
of 51 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 423,458 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.